Methods, devices, and systems for decoding portions of video content according to a schedule based on user viewpoint

ABSTRACT

Aspects of the subject disclosure may include, for example, determining a first viewpoint in response to detecting a user&#39;s head movement in viewing video content, determining a capacity of a network, determining a tile schedule for receiving tiles from a server over the network according to the first viewpoint and the capacity of the network, and providing the tile schedule to the server over the network. The server schedules transmitting of the tiles according to the tile schedule and provides the tiles to the client device according to the tile schedule. In addition, embodiments include decoding the tiles according to a decoding schedule, buffering the decoded tiles in a decoded frame buffer, detecting a change in viewpoint from the first viewpoint to a second viewpoint, selecting a portion of the decoded tiles according to the second viewpoint, and presenting the selected tiles. Other embodiments are disclosed.

FIELD OF THE DISCLOSURE

The subject disclosure relates to methods, devices, and systems for decoding portions of video content according to a schedule based on user viewpoint.

BACKGROUND

Current video content streaming services include a video content server providing portions of video content to a client device for viewing by a user. As the user changes viewpoint, the video content server provides additional portions of the video content for viewing.

BRIEF DESCRIPTION OF THE DRAWINGS

Reference will now be made to the accompanying drawings, which are not necessarily drawn to scale, and wherein:

FIG. 1 is a block diagram illustrating an exemplary, non-limiting embodiment of a communications network in accordance with various aspects described herein.

FIGS. 2A-2C, and FIG. 2H are block diagrams illustrating example, non-limiting embodiments of a system functioning within the communication network of FIG. 1 in accordance with various aspects described herein.

FIGS. 2D-G depict illustrative embodiments of methods in accordance with various aspects described herein.

FIG. 3 is a block diagram illustrating an example, non-limiting embodiment of a virtualized communication network in accordance with various aspects described herein.

FIG. 4 is a block diagram of an example, non-limiting embodiment of a computing environment in accordance with various aspects described herein.

FIG. 5 is a block diagram of an example, non-limiting embodiment of a mobile network platform in accordance with various aspects described herein.

FIG. 6 is a block diagram of an example, non-limiting embodiment of a communication device in accordance with various aspects described herein.

DETAILED DESCRIPTION

The subject disclosure describes, among other things, illustrative embodiments for determining a first viewpoint of a user in response to detecting a head movement of the user in viewing video content, determining a capacity of a communication network, determining a tile schedule for receiving a plurality of tiles from a video content server over the communication network according to the first viewpoint and the capacity of the communication network, and providing the tile schedule to the video content server over the communication network. The video content server schedules transmitting of the plurality of tiles according to the tile schedule, and provides the plurality of tiles to the device according to the tile schedule. Further embodiments include decoding the plurality of tiles according to a decoding schedule resulting in a plurality of decoded tiles, buffering the plurality of decoded tiles in a decoded frame buffer, detecting a change in viewpoint by the user from the first viewpoint to a second viewpoint of the user, selecting a portion of the plurality of decoded tiles according to the second viewpoint resulting in selected tiles, and presenting the selected tiles. Other embodiments are described in the subject disclosure.

One or more aspects of the subject disclosure include a device, comprising a processing system including a processor, and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations. Operations can comprise determining a first viewpoint of a user in response to detecting a head movement of the user in viewing video content, determining a capacity of a communication network, determining a tile schedule for receiving a plurality of tiles from a video content server over the communication network according to the first viewpoint and the capacity of the communication network, and providing the tile schedule to the video content server over the communication network. The video content server schedules transmitting of the plurality of tiles according to the tile schedule and video content server provides the plurality of tiles to the device according to the tile schedule. Further, the operations comprise decoding the plurality of tiles according to a decoding schedule resulting in a plurality of decoded tiles, buffering the plurality of decoded tiles in a decoded frame buffer, detecting a change in viewpoint by the user from the first viewpoint to a second viewpoint of the user, selecting a portion of the plurality of decoded tiles according to the second viewpoint resulting in selected tiles, and presenting the selected tiles.

One or more aspects of the subject disclosure include a machine-readable medium, comprising executable instructions that, when executed by a processing system including a processor, facilitate performance of operations. Operations can comprise determining a first viewpoint of a user in response to detecting a head movement of the user in viewing video content, determining a capacity of a communication network, determining a tile schedule for receiving a plurality of tiles from a video content server over the communication network according to the first viewpoint and the capacity of the communication network, and providing the tile schedule to the video content server over the communication network. The video content server schedules transmitting of the plurality of tiles according to the tile schedule and provides the plurality of tiles to the processing system according to the tile schedule. Further operations comprise identifying a playback time for each of the plurality of tiles resulting in a group of playback times for each of the plurality of tiles, generating a decoding schedule according to the group of playback times, decoding the plurality of tiles according to the decoding schedule resulting in a plurality of decoded tiles, buffering the plurality of decoded tiles in a decoded frame buffer, detecting a change in viewpoint by the user from the first viewpoint to a second viewpoint of the user, selecting a portion of the plurality of decoded tiles according to the second viewpoint resulting in selected tiles, and presenting the selected tiles.

One or more aspects of the subject disclosure include a method. The method can comprise determining, by a processing system including a processor, a first viewpoint of a user in response to detecting a head movement of the user in viewing video content, determining, by the processing system, a capacity of a communication network, determining, by the processing system, a tile schedule for receiving a plurality of tiles from a video content server over the communication network according to the first viewpoint and the capacity of the communication network, and providing, by the processing system, the tile schedule to the video content server over the communication network. The video content server schedules transmitting of the plurality of tiles according to the tile schedule and the video content server provides the plurality of tiles to the processing system. Further operations comprise decoding, by the processing system, the plurality of tiles according to a decoding schedule resulting in a plurality of decoded tiles, detecting, by the processing system, that a decoded frame buffer is full with the plurality of decoded tiles, identifying, by the processing system, a first decoded tile from the plurality of decoded tiles. The first decoded tile contains a portion of the video content that is not in the first viewpoint and the plurality of decoded tiles comprises the first decoded tile. Additional operations comprise removing, by the processing system, the first decoded tile from the decoded frame buffer, buffering, by the processing system, the plurality of decoded tiles in the decoded frame buffer, detecting, by the processing system, a change in viewpoint by the user from the first viewpoint to a second viewpoint of the user, selecting, by the processing system, a portion of the plurality of decoded tiles according to the second viewpoint resulting in selected tiles, and presenting, by the processing system, the selected tiles.

Referring now to FIG. 1, a block diagram is shown illustrating an example, non-limiting embodiment of a communications network 100 in accordance with various aspects described herein. For example, communications network 100 can facilitate in whole or in part a video content server providing a plurality of tiles of video content to a client device according to a user's first viewpoint. In particular, a communications network 125 is presented for providing broadband access 110 to a plurality of data terminals 114 via access terminal 112, wireless access 120 to a plurality of mobile devices 124 and vehicle 126 via base station or access point 122, voice access 130 to a plurality of telephony devices 134, via switching device 132 and/or media access 140 to a plurality of audio/video display devices 144 via media terminal 142. In addition, communication network 125 is coupled to one or more content sources 175 of audio, video, graphics, text and/or other media. While broadband access 110, wireless access 120, voice access 130 and media access 140 are shown separately, one or more of these forms of access can be combined to provide multiple access services to a single client device (e.g., mobile devices 124 can receive media content via media terminal 142, data terminal 114 can be provided voice access via switching device 132, and so on).

The communications network 125 includes a plurality of network elements (NE) 150, 152, 154, 156, etc. for facilitating the broadband access 110, wireless access 120, voice access 130, media access 140 and/or the distribution of content from content sources 175. The communications network 125 can include a circuit switched or packet switched network, a voice over Internet protocol (VoIP) network, Internet protocol (IP) network, a cable network, a passive or active optical network, a 4G, 5G, or higher generation wireless access network, WIMAX network, UltraWideband network, personal area network or other wireless access network, a broadcast satellite network and/or other communications network.

In various embodiments, the access terminal 112 can include a digital subscriber line access multiplexer (DSLAM), cable modem termination system (CMTS), optical line terminal (OLT) and/or other access terminal. The data terminals 114 can include personal computers, laptop computers, netbook computers, tablets or other computing devices along with digital subscriber line (DSL) modems, data over coax service interface specification (DOCSIS) modems or other cable modems, a wireless modem such as a 4G, 5G, or higher generation modem, an optical modem and/or other access devices.

In various embodiments, the base station or access point 122 can include a 4G, 5G, or higher generation base station, an access point that operates via an 802.11 standard such as 802.11n, 802.11ac or other wireless access terminal. The mobile devices 124 can include mobile phones, e-readers, tablets, phablets, wireless modems, and/or other mobile computing devices.

In various embodiments, the switching device 132 can include a private branch exchange or central office switch, a media services gateway, VoIP gateway or other gateway device and/or other switching device. The telephony devices 134 can include traditional telephones (with or without a terminal adapter), VoIP telephones and/or other telephony devices.

In various embodiments, the media terminal 142 can include a cable head-end or other TV head-end, a satellite receiver, gateway or other media terminal 142. The display devices 144 can include televisions with or without a set top box, personal computers and/or other display devices.

In various embodiments, the content sources 175 include broadcast television and radio sources, video on demand platforms and streaming video and audio services platforms, one or more content data networks, data servers, web servers and other content servers, and/or other sources of media.

In various embodiments, the communications network 125 can include wired, optical and/or wireless links and the network elements 150, 152, 154, 156, etc. can include service switching points, signal transfer points, service control points, network gateways, media distribution hubs, servers, firewalls, routers, edge devices, switches and other network nodes for routing and controlling communications traffic over wired, optical and wireless links as part of the Internet and other public networks as well as one or more private networks, for managing subscriber access, for billing and network management and for supporting other network functions.

FIGS. 2A-2B and FIG. 2G are block diagrams illustrating example, non-limiting embodiments of a system functioning within the communication network of FIG. 1 in accordance with various aspects described herein. Referring to FIG. 2A, the system 200 can include a video content server 201 that can provide video content, or portions thereof, to a client device 205 over a communication network for viewing by a user 207. In some embodiments, the video content server 201 can be operated by a video content service provider and video content can be uploaded into memory of the video content server 201 by video content service provider personnel. In other embodiments, the video content server 201 can obtain the video content from another media content server, including a social media server. In further embodiments, the video content server 201 can obtain video content from other client devices (not shown) capturing the video content (such as a live event, concert, sporting event, etc.) and provide the video content to the client device 205 after storing the video content for a period of time to provide to the client device in the future. In additional embodiments, the video content provided by the video content server 201 to the client device 205 can be part of a Video-On-Demand (VOD) service provided by a media content service provider.

In one or more embodiments, the video content can be panoramic video content. In some embodiments the panoramic video content can be 360 degree video content and in other embodiments, the panoramic video content can be less than 360 degree video content. In further embodiments, the client device 205 can be a mobile device such as a mobile phone, wearable device, smart watch, virtual reality headset, tablet computer, and/or laptop computer. In additional embodiments, the client device 205 can be a desktop computer, set top box, media processor, gaming system, and/or any other computing device.

In one or more embodiments, the client device 205 can be used in conjunction with a virtual reality headset 208 for the user 207 to view panoramic video content. When viewing the panoramic video content, the virtual reality headset 208 renders the video content on it display such that the user 207 has the perspective of viewing the panoramic video content from a middle 206 of a sphere 202. As the user 207 turns to view different parts of the panoramic video content the virtual reality headset detects the head movement of the user 207 and renders these different parts of the panoramic video content accordingly. Further, the video content server 201 can provide portions of the panoramic video content to the client device 205 or virtual reality headset 208. Portions of the panoramic video content can comprise multiple tiles. That is, the video content server 201 can slice the panoramic video content into multiple tiles 204 and provide portions of the panoramic video content comprising multiple tiles. In addition, upon receiving the multiple tiles, the virtual reality headset 208 can render the multiple tiles on its display for viewing by the user 207. In further embodiments, the tiles can be encoded as part of a VOD service of a media content service provider or encoded as obtained by another server (e.g. social media server) or other client device.

In one or more embodiments, the client device 205 or the virtual reality headset 208 detects the head movement of the user 207 viewing the video content. According to the user's head movement, the virtual reality headset 208 or client device 205 determines a user's first viewpoint. In some embodiments, the client device 205 or virtual reality headset 208 can determine a capacity of the communication network 203. Network capacity can be estimated by measuring the number of bits, or number of packets, that are received by the client device 205 over a period of time or by any other measure of network bandwidth or capacity. Further, the communication network 203 can be a wired network, wireless network, or a combination thereof. In additional embodiments, the client device 205 can determine a tile schedule for multiple tiles of the video content according to the user's first viewpoint and the capacity of the communication network 203. Also, the client device 205 can provide the tile schedule to the video content server 201. Further, the video content server 201 can schedule transmitting of multiple tiles to the client device 205 according to the tile schedule. In addition, the video content server 201 provides the multiple tiles to the client device 205 according to the tile schedule.

In one or more embodiments, the client device 205 can decode the multiple tiles according a decoding schedule resulting in multiple decoded tiles. In further embodiments, the client device can buffer the multiple decoded tiles in a decoded frame buffer. In additional embodiments, the client device 205 can detect a change in viewpoint by the user from the user's first viewpoint to a user's second viewpoint. In some embodiments, the client device 205 can select a portion of the multiple decoded tiles according to the user's second viewpoint resulting in a portion of selected tiles. In other embodiments, the client device 205 can present the selected tiles.

Referring to FIG. 2B and FIG. 2C, in one or more embodiments, system 210 shows multiple tiles of video content in a two dimensional array 218 for a time index 0 (See FIG. 2B) and time index 1 (See FIG. 2C). A user's first viewpoint 214 can be shown to cover a portion of the multiple tiles 216. Thus, a video content server provides the tiles 216 to a client device for rendering to the user. Tiles can be encoded using the motion picture experts group (MPEG) compression. MPEG compression encodes portions of the video content into Intra coded frames or I frames and encodes other portions of the video content in Predicted (P) or Bi-directionally predicted B frames. Further, decoding the tiles can include decoding tiles that include I frames at time index 0 and then decode tiles that include B frames at time index 1. According to the MPEG compression protocol, I frames are decoded prior to decoding B frames as decoding of a B frame depends on a decoded I frame, as a B frame includes information that are the changes from an I frame and thus must be decoded after decoding of the I frame. Thus, for a B frame at time index 1 to be decoded, the client device must first receive the I frame at time index 0. B frames may require prior decoding of two other frames (I frames and P frames).

In one or more embodiments, a video content server can provide further tiles 219, 221 to the client device 205 that contain I frame 222 a-229 a when it receives the user's first viewpoint in anticipation of the user changing viewpoint to a second viewpoint at time index 1. In further embodiments, the video content server can not only provide tiles with I frames 222 a-229 a at time index 0 but also tiles with B frames 222 b-229 b at time index 1. Thus, the video content server can provide both groups of tiles 222 a-229 a, 222 b-229 b such that B frames 222 b-229 b can be decoded from I frames 222 a-229 a and rendered when the user's change in viewpoint from the user's first viewpoint to a second viewpoint includes tiles 219.

In one or more embodiments, the video content server determines multiple supplemental tiles 219, 221 surrounding the user first viewpoint 214 at both time index 0 and time index 1. The video content comprises the multiple supplemental tiles 219, 221 at time index 0 and time index 1. In some embodiments, the video content identifies a portion of the multiple supplemental tiles 221 that comprise a group of supplemental I frames 222 a-229 a and B frames 222 b-229 b. Further, the video content server can provide the portion of supplemental tiles 219 and 221 at time index 0 and time index 1. In other embodiments, decoding of the multiple tiles (such as tiles with B frames 222 b-229 b) comprises decoding the multiple tiles according to the group of supplemental I frames 222 a-229 a). Note, when network latency is low or network capacity is high, more supplemental tiles can be provided to the client device to anticipate a user's head movement/change in viewpoint.

In one or more embodiments, a client device detects a user's second viewpoint. It identifies a group of frames according to the user's second viewpoint resulting in an identified group of frames. Further, the client device selects a portion of tiles corresponding to the group of frames. Such group of frames can be stored in the decoded frame buffer.

FIGS. 2D-G depict illustrative embodiments of methods in accordance with various aspects described herein. Referring to FIG. 2D, in one or more embodiments, method 230 can be implemented by a client device, such as a mobile device, or by a video content server, as shown in FIG. 2A. Further, the method 230 can include the client device, at 232, detecting a user's head movement in viewing video content on the client device. In addition, the method 230 can include the client device, at 234, determining a user's first viewpoint in viewing the video content. In some embodiments, the client device can be virtual reality headset that comprises a motion sensor such that the user's first viewpoint can be determined by the user's head movement using the motion sensor. In other embodiments, determining the user's first viewpoint can be including capturing an image of the user and determining the user first viewpoint using image recognition techniques.

In one or more embodiments, the method 230 can include the client device, at 236, determining a capacity of a communication network. Further, the method 230 can include the client device, at 238, determining a tile schedule for receiving a plurality of tiles from a video content server over the communication network according to the first viewpoint and the capacity of the communication network. In addition, the method 230 can include the client device, at 240, providing the tile schedule to the video content server over the communication network. Also, the method 230 can include the video content server, at 242, transmitting the plurality of tiles according to the tile schedule. The video content comprises the plurality of tiles. Further, the method 230 can include the video content server, at 244, providing the plurality of tiles to the device according to the tile schedule.

In one or more embodiments, the method 230 can include the client device, at 246, decoding the plurality of tiles according to a decoding schedule resulting in a plurality of decoded tiles. Further, the method 230 can include the client device, at 248, buffering the plurality of decoded tiles in a decoded frame buffer. In addition, the method 230 can include the client device, at 250, detecting a change in viewpoint by the user from the user's first viewpoint to a user's second viewpoint. Also, the method 230 can include the client device, at 252, selecting a portion of the plurality of decoded tiles according to the user's second viewpoint resulting in a portion of selected tiles. Further, the method 230 can include the client device, at 254, presenting the selected tiles.

Referring to FIG. 2E, in or more embodiments, the method 265 can be implemented by a client device, as shown in FIG. 2A. The method 265 can include the client device, at 266, detecting the decoded frame buffer is full with the plurality of decoded tiles. Further, the method 265 can include the client device, at 268, identifying a first decoded tile from the plurality of decoded tiles. The first decoded tile contains a portion of the video content that is not in the user's first viewpoint and the plurality of decoded tiles comprises the first decoded tile. In addition, the method 265 can include the client device, at 270, removing the first decoded tile from the decoded frame buffer. Also, the method 265 can include the client device, at 272, detecting the decoded frame buffer is full with the plurality of decoded tiles. Further, the method 265 can include the client device, at 274, identifying a second decoded tile from the plurality of decoded tiles. The second decoded tile contains a portion of the video content that is not in the user's second viewpoint and the plurality of decoded tiles comprises the second decoded tile. In addition, the method 265 can include the client device, at 276, removing the second decoded tile from the decoded frame buffer. Also, the method 265 can include the client device, at 248, buffering the plurality of decoded tiles in a decoded frame buffer.

Referring to FIG. 2F, the method 280 can be implemented by a client device, as shown in FIG. 2A. The method 280 can include the client device, at 282, identifying a playback time for each of the plurality of tiles resulting in a group of playback times for each of the plurality of tiles. Further, the method 280 can include the client device, at 284, generating the decoding schedule according to the group of playback times. In addition, the method 280 can include the client device, at 286, determining a waiting time for each of the plurality of tiles resulting in a group of waiting times. Also, the method 280 can include the client device, at 288, generating the decoding schedule according to the group of waiting times. Further, the method 280 can include the client device, at 246, decoding the plurality of tiles according to a decoding schedule resulting in a plurality of decoded tiles.

Referring to FIG. 2G, in one or more embodiments, method 290 can be implemented by a client device or a video content server, as shown in FIG. 2A. The method 290 can include the client device, at 292, determining a plurality of supplemental tiles surrounding the user's first viewpoint. The video content comprises the plurality of supplemental tiles. Further, the method 290 can include the client device, at 294, identifying a portion of plurality of supplemental tiles comprising a group of supplemental I frames. The plurality of tiles in the tile schedule comprises the portion of the plurality of supplemental tiles. In addition, the method 290 can include the video content server, at 295 providing the portion of the plurality of supplemental tiles. Also, the method 290 can include the client device, at 296, decoding the plurality of tiles comprising decoding the plurality of tiles according the group of supplemental I frames.

While for purposes of simplicity of explanation, the respective processes are shown and described as a series of blocks in FIGS. 2C-2F, it is to be understood and appreciated that the claimed subject matter is not limited by the order of the blocks, as some blocks may occur in different orders and/or concurrently with other blocks from what is depicted and described herein. Moreover, not all illustrated blocks may be required to implement the methods described herein.

Portions of embodiments can be combined with other portions of embodiments.

Referring to FIG. 2H, the video player predicts a user's head movement (i.e., viewport or viewpoint) and prefetches the tiles to be consumed by the user. In some embodiments, a viewport-adaptive 360-degree video player can be responsive to fast-paced viewport changes and viewport prediction updates. In other embodiments, targeting the ABR (adaptive bitrate) streaming, a viewport-adaptive 360-degree video player can be a practical and effective rate adaptation algorithm that determines the qualities of tiles by considering both the network capacity and head movement, yielding a potentially huge search space. In further embodiments, the system in FIG. 2H, targets off-the-shelf mobile devices whose processing capabilities are much weaker than PCs. In particular, the total time budget for the overall processing pipeline, which is performed entirely on the client side, is typically less than 1 second as limited by the time window that can yield a reasonable viewport prediction accuracy.

FIG. 2H shows the high-level system design of a viewport-adaptive 360-degree video player. The client device performs viewport prediction in real time. A component on the client side is the Download Planner. It takes as streamed input the viewport prediction and network capacity estimation, and computes the set of tiles to be downloaded as well as their desired qualities. When tiles arrive from the server, they are properly buffered, decoded, projected, and rendered to the viewer, as shown in the right hand side of FIG. 2H. Compared to the client side, the server can be less complex—simply transmitting the tiles per clients' requests. This client-server function partition follows the DASH streaming paradigm, which facilitates scalability and ease of deployment.

The system in FIG. 2H focuses on the tile decoding aspect. In other embodiments, the decoding scheme includes the constraint where a decoder decodes only tiles that are currently being played. Although decoders may have their internal buffers; but the buffers can be small and not accessible by applications. In other words, the playback and decoding are synchronized, and this forces all decoders to be synchronized as well. The system of FIG. 2H, instead, makes decoding and playback asynchronous. It allows decoders to cache the decoded frames of tiles to be played in the future by introducing a Decoded Frame Buffer (DFB). Specifically, the decoding scheduler dynamically selects a received tile and sends it to an idle decoder. The decoded frames are not necessarily consumed right away; instead they can be stored in the DFB residing in the video memory. When a cached frame is needed during the playback, especially when the viewport changes, it is fed into GPU for immediate rendering with negligible delay incurred. Otherwise, the player needs to decode from the corresponding I-frame and thus may not be able to guarantee smooth playback.

The system of FIG. 2H offers several advantages. First, since there is no one-to-one association between visible tiles and decoders, the number of decoders can be greatly reduced; in theory only one decoder is needed (if it is fast enough) to decode all tiles. Second, the design ensures smooth playback when visible tiles change, as long as future tiles are properly cached in DFB. Third, it can be found that asynchronous decoding also dramatically improves the performance compared to synchronous decoding (up to 2.7× higher FPS when tested on Samsung Galaxy S7, using a local 4K video segmented into 2×4 tiles). A downside of using the DFB is the high video memory usage, since the decoded frames are stored in their raw (uncompressed) format. However, the present invention proposes to store only a small number of tiles in DFB (as limited by the short prediction window of viewport prediction), making the approach feasible for 4K and even 8K videos. When this buffer is full, tiles that are further away from the viewport can be removed first. For tiles overlapping with the viewport, the priority is determined by the size of their projected area. Tiles with small projected area can be removed first. The feasibility of using the Decoded Frame Buffer to guarantee the smooth video playback is powered by the viewport prediction feature. Otherwise it is challenging to determine which tiles should be pre-fetched and decoded.

There are also embodiments solutions that can potentially solve the above smooth playback issue when the viewport changes. Embodiments can increase the density of I-frames and thus decrease the distance from a non-I-frame to its I-frame for decoding. The challenge here is that there is a trade-off between the decoding latency and the transmission overhead, because adding more I-frames will increase the size of a video chunk. Other embodiments can always fetch a low-quality panoramic video chunk along with the predicted tiles. This panoramic video can be decoded and played frame-by-frame. However, if a high-quality tile overlapping with the viewport is missing, the corresponding area from the low-quality panoramic frame will be displayed which may affect the quality of user experience. Further embodiments can download the low-quality panoramic frame but that can increase the network overhead, as the portion covered by the high-quality tiles will be wasted. This problem can be potentially addressed by leveraging Scalable Video Encoding (SVC), which was standardized as an H.264 extension, and will also be available in H.265. Some embodiments include incrementally upgrade a fetched portion of a video frame to a higher quality using SVC. Additional embodiments can equip mobile devices with more powerful hardware decoders to reduce the decoding time. The downside of this solution is that it will increase the cost of mobile devices and reduce their battery life.

Embodiments describe what happens at the end of the streaming pipeline. Additional embodiments utilize a high-precision timer that fires at a fixed frequency (e.g., 30 FPS) to render each frame. When a timer event occurs, the video player first checks whether all (sub)frames associated with the tiles in the current viewport are in the DFB. If not, a stall occurs, and one additional timer event can be scheduled when all missing subframes are ready. Otherwise, other embodiments project each subframe to draw the corresponding scene in the viewport. This is done by rendering a series of triangle meshes with their vertices being actually projected. After all subframes are rendered, the stitched frame is displayed.

In one or more embodiments, the decoding scheduler's job is to select from the tiles waiting at the encoded tile buffer (See FIG. 2H) the most important ones to decode. It reuses the tile scheduling results that contain the predicted tiles sorted chronologically. Specifically, when any decoder becomes idle, the decoding scheduler can send to that decoder a tile with the highest rank in the currently predicted tile list. In other words, the decoding scheduler selects the best estimated tile with the closest playback deadline to appear in the viewport.

As shown in FIG. 2H, the received (encoded) tiles are processed in three steps: (1) waiting: they wait at the encoded tile buffer when all decoders are busy; (2) decoding: some tiles are selected to be decoded; and (3) rendering: some decoded tiles stored in DFB are rendered and consumed by the viewer. Embodiments can include that the rendering step takes negligible time. The decoding time for a 1-second tile ranges from 0.2 to 0.5 seconds (on Samsung Galaxy S8). Other embodiments can model the decoding time of a tile as fD/F. F=30 is the number of frames per tile; fϵ(0, F] is the first frame in the tile that will appear in the predicted viewport trajectory; D is the per-tile decoding time (i.e., decoding all F frames in a tile) measured by the video player, averaged over the past 20 samples.

In one or more embodiments the client can estimate the waiting time. First, consider the scenario where a single tile is waiting in the encoded tile buffer. It cannot be decoded until any of the decoders becomes idle. This waiting time can be calculated as w=max {w1, . . . , wp} where p is the number of decoders, and each decoder i can finish decoding its current tile in wi seconds (a random variable). Now consider a general scenario where q tiles are waiting to be decoded. In the worst case, q is the number of tiles to appear in the next frame's viewport, and we consider the (longest) waiting time for the last of the q tiles to be decoded. This worst-case waiting time is thus qw, whose expectation can be calculated as qD/p+1 by assuming each wpi independently follows a uniform distribution on [0, D]. In the present invention, embodiments can use a less conservative waiting time of qw/2. Then the decoding time is estimated as the sum of the expected waiting time and decoding time: D[f/F+q/2(p+1)]. In this equation F and p are constants; q can also be approximated as a constant (e.g., we can use 6 for 4×6 segmentation); f is derived by the tile scheduler; D can be estimated from measurements at runtime as described before. This decoding time estimation can be used in other components of viewport-adaptive 360-degree video players.

Referring now to FIG. 3, a block diagram 300 is shown illustrating an example, non-limiting embodiment of a virtualized communication network in accordance with various aspects described herein. In particular a virtualized communication network is presented that can be used to implement some or all of the subsystems and functions of communication network 100, the subsystems and functions of system 200, and method 230 presented in FIGS. 1, 2A, 2B, 2C, and 3. For example, virtualized communication network 300 can facilitate in whole or in part a video content server providing a plurality of tiles of video content to a client device.

In particular, a cloud networking architecture is shown that leverages cloud technologies and supports rapid innovation and scalability via a transport layer 350, a virtualized network function cloud 325 and/or one or more cloud computing environments 375. In various embodiments, this cloud networking architecture is an open architecture that leverages application programming interfaces (APIs); reduces complexity from services and operations; supports more nimble business models; and rapidly and seamlessly scales to meet evolving customer requirements including traffic growth, diversity of traffic types, and diversity of performance and reliability expectations.

In contrast to traditional network elements—which are typically integrated to perform a single function, the virtualized communication network employs virtual network elements (VNEs) 330, 332, 334, etc. that perform some or all of the functions of network elements 150, 152, 154, 156, etc. For example, the network architecture can provide a substrate of networking capability, often called Network Function Virtualization Infrastructure (NFVI) or simply infrastructure that is capable of being directed with software and Software Defined Networking (SDN) protocols to perform a broad variety of network functions and services. This infrastructure can include several types of substrates. The most typical type of substrate being servers that support Network Function Virtualization (NFV), followed by packet forwarding capabilities based on generic computing resources, with specialized network technologies brought to bear when general purpose processors or general purpose integrated circuit devices offered by merchants (referred to herein as merchant silicon) are not appropriate. In this case, communication services can be implemented as cloud-centric workloads.

As an example, a traditional network element 150 (shown in FIG. 1), such as an edge router can be implemented via a VNE 330 composed of NFV software modules, merchant silicon, and associated controllers. The software can be written so that increasing workload consumes incremental resources from a common resource pool, and moreover so that it's elastic: so the resources are only consumed when needed. In a similar fashion, other network elements such as other routers, switches, edge caches, and middle-boxes are instantiated from the common resource pool. Such sharing of infrastructure across a broad set of uses makes planning and growing infrastructure easier to manage.

In an embodiment, the transport layer 350 includes fiber, cable, wired and/or wireless transport elements, network elements and interfaces to provide broadband access 110, wireless access 120, voice access 130, media access 140 and/or access to content sources 175 for distribution of content to any or all of the access technologies. In particular, in some cases a network element needs to be positioned at a specific place, and this allows for less sharing of common infrastructure. Other times, the network elements have specific physical layer adapters that cannot be abstracted or virtualized, and might require special DSP code and analog front-ends (AFEs) that do not lend themselves to implementation as VNEs 330, 332 or 334. These network elements can be included in transport layer 350.

The virtualized network function cloud 325 interfaces with the transport layer 350 to provide the VNEs 330, 332, 334, etc. to provide specific NFVs. In particular, the virtualized network function cloud 325 leverages cloud operations, applications, and architectures to support networking workloads. The virtualized network elements 330, 332 and 334 can employ network function software that provides either a one-for-one mapping of traditional network element function or alternately some combination of network functions designed for cloud computing. For example, VNEs 330, 332 and 334 can include route reflectors, domain name system (DNS) servers, and dynamic host configuration protocol (DHCP) servers, system architecture evolution (SAE) and/or mobility management entity (MME) gateways, broadband network gateways, IP edge routers for IP-VPN, Ethernet and other services, load balancers, distributers and other network elements. Because these elements don't typically need to forward large amounts of traffic, their workload can be distributed across a number of servers—each of which adds a portion of the capability, and overall which creates an elastic function with higher availability than its former monolithic version. These virtual network elements 330, 332, 334, etc. can be instantiated and managed using an orchestration approach similar to those used in cloud compute services.

The cloud computing environments 375 can interface with the virtualized network function cloud 325 via APIs that expose functional capabilities of the VNEs 330, 332, 334, etc. to provide the flexible and expanded capabilities to the virtualized network function cloud 325. In particular, network workloads may have applications distributed across the virtualized network function cloud 325 and cloud computing environment 375 and in the commercial cloud, or might simply orchestrate workloads supported entirely in NFV infrastructure from these third party locations.

Turning now to FIG. 4, there is illustrated a block diagram of a computing environment in accordance with various aspects described herein. In order to provide additional context for various embodiments of the embodiments described herein, FIG. 4 and the following discussion are intended to provide a brief, general description of a suitable computing environment 400 in which the various embodiments of the subject disclosure can be implemented. In particular, computing environment 400 can be used in the implementation of network elements 150, 152, 154, 156, access terminal 112, base station or access point 122, switching device 132, media terminal 142, and/or VNEs 330, 332, 334, etc. Each of these devices can be implemented via computer-executable instructions that can run on one or more computers, and/or in combination with other program modules and/or as a combination of hardware and software. For example, computing environment 400 can facilitate in whole or in part a video content server providing a plurality of tiles of video content to a client device. The video content server and/or client device can comprise the computing device 400.

Generally, program modules comprise routines, programs, components, data structures, etc., that perform particular tasks or implement particular abstract data types. Moreover, those skilled in the art will appreciate that the inventive methods can be practiced with other computer system configurations, comprising single-processor or multiprocessor computer systems, minicomputers, mainframe computers, as well as personal computers, hand-held computing devices, microprocessor-based or programmable consumer electronics, and the like, each of which can be operatively coupled to one or more associated devices.

As used herein, a processing circuit includes one or more processors as well as other application specific circuits such as an application specific integrated circuit, digital logic circuit, state machine, programmable gate array or other circuit that processes input signals or data and that produces output signals or data in response thereto. It should be noted that while any functions and features described herein in association with the operation of a processor could likewise be performed by a processing circuit.

The illustrated embodiments of the embodiments herein can be also practiced in distributed computing environments where certain tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules can be located in both local and remote memory storage devices.

Computing devices typically comprise a variety of media, which can comprise computer-readable storage media and/or communications media, which two terms are used herein differently from one another as follows. Computer-readable storage media can be any available storage media that can be accessed by the computer and comprises both volatile and nonvolatile media, removable and non-removable media. By way of example, and not limitation, computer-readable storage media can be implemented in connection with any method or technology for storage of information such as computer-readable instructions, program modules, structured data or unstructured data.

Computer-readable storage media can comprise, but are not limited to, random access memory (RAM), read only memory (ROM), electrically erasable programmable read only memory (EEPROM), flash memory or other memory technology, compact disk read only memory (CD-ROM), digital versatile disk (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices or other tangible and/or non-transitory media which can be used to store desired information. In this regard, the terms “tangible” or “non-transitory” herein as applied to storage, memory or computer-readable media, are to be understood to exclude only propagating transitory signals per se as modifiers and do not relinquish rights to all standard storage, memory or computer-readable media that are not only propagating transitory signals per se.

Computer-readable storage media can be accessed by one or more local or remote computing devices, e.g., via access requests, queries or other data retrieval protocols, for a variety of operations with respect to the information stored by the medium.

Communications media typically embody computer-readable instructions, data structures, program modules or other structured or unstructured data in a data signal such as a modulated data signal, e.g., a carrier wave or other transport mechanism, and comprises any information delivery or transport media. The term “modulated data signal” or signals refers to a signal that has one or more of its characteristics set or changed in such a manner as to encode information in one or more signals. By way of example, and not limitation, communication media comprise wired media, such as a wired network or direct-wired connection, and wireless media such as acoustic, RF, infrared and other wireless media.

With reference again to FIG. 4, the example environment can comprise a computer 402, the computer 402 comprising a processing unit 404, a system memory 406 and a system bus 408. The system bus 408 couples system components including, but not limited to, the system memory 406 to the processing unit 404. The processing unit 404 can be any of various commercially available processors. Dual microprocessors and other multiprocessor architectures can also be employed as the processing unit 404.

The system bus 408 can be any of several types of bus structure that can further interconnect to a memory bus (with or without a memory controller), a peripheral bus, and a local bus using any of a variety of commercially available bus architectures. The system memory 406 comprises ROM 410 and RAM 412. A basic input/output system (BIOS) can be stored in a non-volatile memory such as ROM, erasable programmable read only memory (EPROM), EEPROM, which BIOS contains the basic routines that help to transfer information between elements within the computer 402, such as during startup. The RAM 412 can also comprise a high-speed RAM such as static RAM for caching data.

The computer 402 further comprises an internal hard disk drive (HDD) 414 (e.g., EIDE, SATA), which internal HDD 414 can also be configured for external use in a suitable chassis (not shown), a magnetic floppy disk drive (FDD) 416, (e.g., to read from or write to a removable diskette 418) and an optical disk drive 420, (e.g., reading a CD-ROM disk 422 or, to read from or write to other high capacity optical media such as the DVD). The HDD 414, magnetic FDD 416 and optical disk drive 420 can be connected to the system bus 408 by a hard disk drive interface 424, a magnetic disk drive interface 426 and an optical drive interface 428, respectively. The hard disk drive interface 424 for external drive implementations comprises at least one or both of Universal Serial Bus (USB) and Institute of Electrical and Electronics Engineers (IEEE) 1394 interface technologies. Other external drive connection technologies are within contemplation of the embodiments described herein.

The drives and their associated computer-readable storage media provide nonvolatile storage of data, data structures, computer-executable instructions, and so forth. For the computer 402, the drives and storage media accommodate the storage of any data in a suitable digital format. Although the description of computer-readable storage media above refers to a hard disk drive (HDD), a removable magnetic diskette, and a removable optical media such as a CD or DVD, it should be appreciated by those skilled in the art that other types of storage media which are readable by a computer, such as zip drives, magnetic cassettes, flash memory cards, cartridges, and the like, can also be used in the example operating environment, and further, that any such storage media can contain computer-executable instructions for performing the methods described herein.

A number of program modules can be stored in the drives and RAM 412, comprising an operating system 430, one or more application programs 432, other program modules 434 and program data 436. All or portions of the operating system, applications, modules, and/or data can also be cached in the RAM 412. The systems and methods described herein can be implemented utilizing various commercially available operating systems or combinations of operating systems.

A user can enter commands and information into the computer 402 through one or more wired/wireless input devices, e.g., a keyboard 438 and a pointing device, such as a mouse 440. Other input devices (not shown) can comprise a microphone, an infrared (IR) remote control, a joystick, a game pad, a stylus pen, touch screen or the like. These and other input devices are often connected to the processing unit 404 through an input device interface 442 that can be coupled to the system bus 408, but can be connected by other interfaces, such as a parallel port, an IEEE 1394 serial port, a game port, a universal serial bus (USB) port, an IR interface, etc.

A monitor 444 or other type of display device can be also connected to the system bus 408 via an interface, such as a video adapter 446. It will also be appreciated that in alternative embodiments, a monitor 444 can also be any display device (e.g., another computer having a display, a smart phone, a tablet computer, etc.) for receiving display information associated with computer 402 via any communication means, including via the Internet and cloud-based networks. In addition to the monitor 444, a computer typically comprises other peripheral output devices (not shown), such as speakers, printers, etc.

The computer 402 can operate in a networked environment using logical connections via wired and/or wireless communications to one or more remote computers, such as a remote computer(s) 448. The remote computer(s) 448 can be a workstation, a server computer, a router, a personal computer, portable computer, microprocessor-based entertainment appliance, a peer device or other common network node, and typically comprises many or all of the elements described relative to the computer 402, although, for purposes of brevity, only a remote memory/storage device 450 is illustrated. The logical connections depicted comprise wired/wireless connectivity to a local area network (LAN) 452 and/or larger networks, e.g., a wide area network (WAN) 454. Such LAN and WAN networking environments are commonplace in offices and companies, and facilitate enterprise-wide computer networks, such as intranets, all of which can connect to a global communications network, e.g., the Internet.

When used in a LAN networking environment, the computer 402 can be connected to the LAN 452 through a wired and/or wireless communication network interface or adapter 456. The adapter 456 can facilitate wired or wireless communication to the LAN 452, which can also comprise a wireless AP disposed thereon for communicating with the adapter 456.

When used in a WAN networking environment, the computer 402 can comprise a modem 458 or can be connected to a communications server on the WAN 454 or has other means for establishing communications over the WAN 454, such as by way of the Internet. The modem 458, which can be internal or external and a wired or wireless device, can be connected to the system bus 408 via the input device interface 442. In a networked environment, program modules depicted relative to the computer 402 or portions thereof, can be stored in the remote memory/storage device 450. It will be appreciated that the network connections shown are example and other means of establishing a communications link between the computers can be used.

The computer 402 can be operable to communicate with any wireless devices or entities operatively disposed in wireless communication, e.g., a printer, scanner, desktop and/or portable computer, portable data assistant, communications satellite, any piece of equipment or location associated with a wirelessly detectable tag (e.g., a kiosk, news stand, restroom), and telephone. This can comprise Wireless Fidelity (Wi-Fi) and BLUETOOTH® wireless technologies. Thus, the communication can be a predefined structure as with a conventional network or simply an ad hoc communication between at least two devices.

Wi-Fi can allow connection to the Internet from a couch at home, a bed in a hotel room or a conference room at work, without wires. Wi-Fi is a wireless technology similar to that used in a cell phone that enables such devices, e.g., computers, to send and receive data indoors and out; anywhere within the range of a base station. Wi-Fi networks use radio technologies called IEEE 802.11 (a, b, g, n, ac, ag, etc.) to provide secure, reliable, fast wireless connectivity. A Wi-Fi network can be used to connect computers to each other, to the Internet, and to wired networks (which can use IEEE 802.3 or Ethernet). Wi-Fi networks operate in the unlicensed 2.4 and 5 GHz radio bands for example or with products that contain both bands (dual band), so the networks can provide real-world performance similar to the basic 10BaseT wired Ethernet networks used in many offices.

Turning now to FIG. 5, an embodiment 500 of a mobile network platform 510 is shown that is an example of network elements 150, 152, 154, 156, and/or VNEs 330, 332, 334, etc. For example, platform 510 can facilitate in whole or in part a video content server providing a plurality of tiles of video content to a client device.

In one or more embodiments, the mobile network platform 510 can generate and receive signals transmitted and received by base stations or access points such as base station or access point 122. Generally, mobile network platform 510 can comprise components, e.g., nodes, gateways, interfaces, servers, or disparate platforms, that facilitate both packet-switched (PS) (e.g., internet protocol (IP), frame relay, asynchronous transfer mode (ATM)) and circuit-switched (CS) traffic (e.g., voice and data), as well as control generation for networked wireless telecommunication. As a non-limiting example, mobile network platform 510 can be included in telecommunications carrier networks, and can be considered carrier-side components as discussed elsewhere herein. Mobile network platform 510 comprises CS gateway node(s) 512 which can interface CS traffic received from legacy networks like telephony network(s) 540 (e.g., public switched telephone network (PSTN), or public land mobile network (PLMN)) or a signaling system #7 (SS7) network 560. CS gateway node(s) 512 can authorize and authenticate traffic (e.g., voice) arising from such networks. Additionally, CS gateway node(s) 512 can access mobility, or roaming, data generated through SS7 network 560; for instance, mobility data stored in a visited location register (VLR), which can reside in memory 530. Moreover, CS gateway node(s) 512 interfaces CS-based traffic and signaling and PS gateway node(s) 518. As an example, in a 3GPP UMTS network, CS gateway node(s) 512 can be realized at least in part in gateway GPRS support node(s) (GGSN). It should be appreciated that functionality and specific operation of CS gateway node(s) 512, PS gateway node(s) 518, and serving node(s) 516, is provided and dictated by radio technology(ies) utilized by mobile network platform 510 for telecommunication over a radio access network 520 with other devices, such as a radiotelephone 575.

In addition to receiving and processing CS-switched traffic and signaling, PS gateway node(s) 518 can authorize and authenticate PS-based data sessions with served mobile devices. Data sessions can comprise traffic, or content(s), exchanged with networks external to the mobile network platform 510, like wide area network(s) (WANs) 550, enterprise network(s) 570, and service network(s) 580, which can be embodied in local area network(s) (LANs), can also be interfaced with mobile network platform 510 through PS gateway node(s) 518. It is to be noted that WANs 550 and enterprise network(s) 570 can embody, at least in part, a service network(s) like IP multimedia subsystem (IMS). Based on radio technology layer(s) available in technology resource(s) or radio access network 520, PS gateway node(s) 518 can generate packet data protocol contexts when a data session is established; other data structures that facilitate routing of packetized data also can be generated. To that end, in an aspect, PS gateway node(s) 518 can comprise a tunnel interface (e.g., tunnel termination gateway (TTG) in 3GPP UMTS network(s) (not shown)) which can facilitate packetized communication with disparate wireless network(s), such as Wi-Fi networks.

In embodiment 500, mobile network platform 510 also comprises serving node(s) 516 that, based upon available radio technology layer(s) within technology resource(s) in the radio access network 520, convey the various packetized flows of data streams received through PS gateway node(s) 518. It is to be noted that for technology resource(s) that rely primarily on CS communication, server node(s) can deliver traffic without reliance on PS gateway node(s) 518; for example, server node(s) can embody at least in part a mobile switching center. As an example, in a 3GPP UMTS network, serving node(s) 516 can be embodied in serving GPRS support node(s) (SGSN).

For radio technologies that exploit packetized communication, server(s) 514 in mobile network platform 510 can execute numerous applications that can generate multiple disparate packetized data streams or flows, and manage (e.g., schedule, queue, format . . . ) such flows. Such application(s) can comprise add-on features to standard services (for example, provisioning, billing, customer support . . . ) provided by mobile network platform 510. Data streams (e.g., content(s) that are part of a voice call or data session) can be conveyed to PS gateway node(s) 518 for authorization/authentication and initiation of a data session, and to serving node(s) 516 for communication thereafter. In addition to application server, server(s) 514 can comprise utility server(s), a utility server can comprise a provisioning server, an operations and maintenance server, a security server that can implement at least in part a certificate authority and firewalls as well as other security mechanisms, and the like. In an aspect, security server(s) secure communication served through mobile network platform 510 to ensure network's operation and data integrity in addition to authorization and authentication procedures that CS gateway node(s) 512 and PS gateway node(s) 518 can enact. Moreover, provisioning server(s) can provision services from external network(s) like networks operated by a disparate service provider; for instance, WAN 550 or Global Positioning System (GPS) network(s) (not shown). Provisioning server(s) can also provision coverage through networks associated to mobile network platform 510 (e.g., deployed and operated by the same service provider), such as the distributed antennas networks shown in FIG. 1(s) that enhance wireless service coverage by providing more network coverage.

It is to be noted that server(s) 514 can comprise one or more processors configured to confer at least in part the functionality of mobile network platform 510. To that end, the one or more processor can execute code instructions stored in memory 530, for example. It is should be appreciated that server(s) 514 can comprise a content manager, which operates in substantially the same manner as described hereinbefore.

In example embodiment 500, memory 530 can store information related to operation of mobile network platform 510. Other operational information can comprise provisioning information of mobile devices served through mobile network platform 510, subscriber databases; application intelligence, pricing schemes, e.g., promotional rates, flat-rate programs, couponing campaigns; technical specification(s) consistent with telecommunication protocols for operation of disparate radio, or wireless, technology layers; and so forth. Memory 530 can also store information from at least one of telephony network(s) 540, WAN 550, SS7 network 560, or enterprise network(s) 570. In an aspect, memory 530 can be, for example, accessed as part of a data store component or as a remotely connected memory store.

In order to provide a context for the various aspects of the disclosed subject matter, FIG. 5, and the following discussion, are intended to provide a brief, general description of a suitable environment in which the various aspects of the disclosed subject matter can be implemented. While the subject matter has been described above in the general context of computer-executable instructions of a computer program that runs on a computer and/or computers, those skilled in the art will recognize that the disclosed subject matter also can be implemented in combination with other program modules. Generally, program modules comprise routines, programs, components, data structures, etc. that perform particular tasks and/or implement particular abstract data types.

Turning now to FIG. 6, an illustrative embodiment of a communication device 600 is shown. The communication device 600 can serve as an illustrative embodiment of devices such as data terminals 114, mobile devices 124, vehicle 126, display devices 144 or other client devices for communication via either communications network 125. For example, computing device 600 can facilitate in whole or in part a video content server providing a plurality of tiles of video content to a client device. The video content server and/or client device can comprise the communication device 600.

The communication device 600 can comprise a wireline and/or wireless transceiver 602 (herein transceiver 602), a user interface (UI) 604, a power supply 614, a location receiver 616, a motion sensor 618, an orientation sensor 620, and a controller 606 for managing operations thereof. The transceiver 602 can support short-range or long-range wireless access technologies such as Bluetooth®, ZigBee®, WiFi, DECT, or cellular communication technologies, just to mention a few (Bluetooth® and ZigBee® are trademarks registered by the Bluetooth® Special Interest Group and the ZigBee® Alliance, respectively). Cellular technologies can include, for example, CDMA-1×, UMTS/HSDPA, GSM/GPRS, TDMA/EDGE, EV/DO, WiMAX, SDR, LTE, as well as other next generation wireless communication technologies as they arise. The transceiver 602 can also be adapted to support circuit-switched wireline access technologies (such as PSTN), packet-switched wireline access technologies (such as TCP/IP, VoIP, etc.), and combinations thereof.

The UI 604 can include a depressible or touch-sensitive keypad 608 with a navigation mechanism such as a roller ball, a joystick, a mouse, or a navigation disk for manipulating operations of the communication device 600. The keypad 608 can be an integral part of a housing assembly of the communication device 600 or an independent device operably coupled thereto by a tethered wireline interface (such as a USB cable) or a wireless interface supporting for example Bluetooth®. The keypad 608 can represent a numeric keypad commonly used by phones, and/or a QWERTY keypad with alphanumeric keys. The UI 604 can further include a display 610 such as monochrome or color LCD (Liquid Crystal Display), OLED (Organic Light Emitting Diode) or other suitable display technology for conveying images to an end user of the communication device 600. In an embodiment where the display 610 is touch-sensitive, a portion or all of the keypad 608 can be presented by way of the display 610 with navigation features.

The display 610 can use touch screen technology to also serve as a user interface for detecting user input. As a touch screen display, the communication device 600 can be adapted to present a user interface having graphical user interface (GUI) elements that can be selected by a user with a touch of a finger. The display 610 can be equipped with capacitive, resistive or other forms of sensing technology to detect how much surface area of a user's finger has been placed on a portion of the touch screen display. This sensing information can be used to control the manipulation of the GUI elements or other functions of the user interface. The display 610 can be an integral part of the housing assembly of the communication device 600 or an independent device communicatively coupled thereto by a tethered wireline interface (such as a cable) or a wireless interface.

The UI 604 can also include an audio system 612 that utilizes audio technology for conveying low volume audio (such as audio heard in proximity of a human ear) and high volume audio (such as speakerphone for hands free operation). The audio system 612 can further include a microphone for receiving audible signals of an end user. The audio system 612 can also be used for voice recognition applications. The UI 604 can further include an image sensor 613 such as a charged coupled device (CCD) camera for capturing still or moving images.

The power supply 614 can utilize common power management technologies such as replaceable and rechargeable batteries, supply regulation technologies, and/or charging system technologies for supplying energy to the components of the communication device 600 to facilitate long-range or short-range portable communications. Alternatively, or in combination, the charging system can utilize external power sources such as DC power supplied over a physical interface such as a USB port or other suitable tethering technologies.

The location receiver 616 can utilize location technology such as a global positioning system (GPS) receiver capable of assisted GPS for identifying a location of the communication device 600 based on signals generated by a constellation of GPS satellites, which can be used for facilitating location services such as navigation. The motion sensor 618 can utilize motion sensing technology such as an accelerometer, a gyroscope, or other suitable motion sensing technology to detect motion of the communication device 600 in three-dimensional space. The orientation sensor 620 can utilize orientation sensing technology such as a magnetometer to detect the orientation of the communication device 600 (north, south, west, and east, as well as combined orientations in degrees, minutes, or other suitable orientation metrics).

The communication device 600 can use the transceiver 602 to also determine a proximity to a cellular, WiFi, Bluetooth®, or other wireless access points by sensing techniques such as utilizing a received signal strength indicator (RSSI) and/or signal time of arrival (TOA) or time of flight (TOF) measurements. The controller 606 can utilize computing technologies such as a microprocessor, a digital signal processor (DSP), programmable gate arrays, application specific integrated circuits, and/or a video processor with associated storage memory such as Flash, ROM, RAM, SRAM, DRAM or other storage technologies for executing computer instructions, controlling, and processing data supplied by the aforementioned components of the communication device 600.

Other components not shown in FIG. 6 can be used in one or more embodiments of the subject disclosure. For instance, the communication device 600 can include a slot for adding or removing an identity module such as a Subscriber Identity Module (SIM) card or Universal Integrated Circuit Card (UICC). SIM or UICC cards can be used for identifying subscriber services, executing programs, storing subscriber data, and so on.

The terms “first,” “second,” “third,” and so forth, as used in the claims, unless otherwise clear by context, is for clarity only and doesn't otherwise indicate or imply any order in time. For instance, “a first determination,” “a second determination,” and “a third determination,” does not indicate or imply that the first determination is to be made before the second determination, or vice versa, etc.

In the subject specification, terms such as “store,” “storage,” “data store,” data storage,” “database,” and substantially any other information storage component relevant to operation and functionality of a component, refer to “memory components,” or entities embodied in a “memory” or components comprising the memory. It will be appreciated that the memory components described herein can be either volatile memory or nonvolatile memory, or can comprise both volatile and nonvolatile memory, by way of illustration, and not limitation, volatile memory, non-volatile memory, disk storage, and memory storage. Further, nonvolatile memory can be included in read only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable ROM (EEPROM), or flash memory. Volatile memory can comprise random access memory (RAM), which acts as external cache memory. By way of illustration and not limitation, RAM is available in many forms such as synchronous RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), Synchlink DRAM (SLDRAM), and direct Rambus RAM (DRRAM). Additionally, the disclosed memory components of systems or methods herein are intended to comprise, without being limited to comprising, these and any other suitable types of memory.

Moreover, it will be noted that the disclosed subject matter can be practiced with other computer system configurations, comprising single-processor or multiprocessor computer systems, mini-computing devices, mainframe computers, as well as personal computers, hand-held computing devices (e.g., PDA, phone, smartphone, watch, tablet computers, netbook computers, etc.), microprocessor-based or programmable consumer or industrial electronics, and the like. The illustrated aspects can also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network; however, some if not all aspects of the subject disclosure can be practiced on stand-alone computers. In a distributed computing environment, program modules can be located in both local and remote memory storage devices.

In one or more embodiments, information regarding use of services can be generated including services being accessed, media consumption history, user preferences, and so forth. This information can be obtained by various methods including user input, detecting types of communications (e.g., video content vs. audio content), analysis of content streams, sampling, and so forth. The generating, obtaining and/or monitoring of this information can be responsive to an authorization provided by the user. In one or more embodiments, an analysis of data can be subject to authorization from user(s) associated with the data, such as an opt-in, an opt-out, acknowledgement requirements, notifications, selective authorization based on types of data, and so forth.

Some of the embodiments described herein can also employ artificial intelligence (AI) to facilitate automating one or more features described herein. The embodiments (e.g., in connection with automatically identifying acquired cell sites that provide a maximum value/benefit after addition to an existing communication network) can employ various AI-based schemes for carrying out various embodiments thereof. Moreover, the classifier can be employed to determine a ranking or priority of each cell site of the acquired network. A classifier is a function that maps an input attribute vector, x=(x1, x2, x3, x4, . . . , xn), to a confidence that the input belongs to a class, that is, f(x)=confidence (class). Such classification can employ a probabilistic and/or statistical-based analysis (e.g., factoring into the analysis utilities and costs) to determine or infer an action that a user desires to be automatically performed. A support vector machine (SVM) is an example of a classifier that can be employed. The SVM operates by finding a hypersurface in the space of possible inputs, which the hypersurface attempts to split the triggering criteria from the non-triggering events. Intuitively, this makes the classification correct for testing data that is near, but not identical to training data. Other directed and undirected model classification approaches comprise, e.g., naïve Bayes, Bayesian networks, decision trees, neural networks, fuzzy logic models, and probabilistic classification models providing different patterns of independence can be employed. Classification as used herein also is inclusive of statistical regression that is utilized to develop models of priority.

As will be readily appreciated, one or more of the embodiments can employ classifiers that are explicitly trained (e.g., via a generic training data) as well as implicitly trained (e.g., via observing UE behavior, operator preferences, historical information, receiving extrinsic information). For example, SVMs can be configured via a learning or training phase within a classifier constructor and feature selection module. Thus, the classifier(s) can be used to automatically learn and perform a number of functions, including but not limited to determining according to predetermined criteria which of the acquired cell sites will benefit a maximum number of subscribers and/or which of the acquired cell sites will add minimum value to the existing communication network coverage, etc.

As used in some contexts in this application, in some embodiments, the terms “component,” “system” and the like are intended to refer to, or comprise, a computer-related entity or an entity related to an operational apparatus with one or more specific functionalities, wherein the entity can be either hardware, a combination of hardware and software, software, or software in execution. As an example, a component may be, but is not limited to being, a process running on a processor, a processor, an object, an executable, a thread of execution, computer-executable instructions, a program, and/or a computer. By way of illustration and not limitation, both an application running on a server and the server can be a component. One or more components may reside within a process and/or thread of execution and a component may be localized on one computer and/or distributed between two or more computers. In addition, these components can execute from various computer readable media having various data structures stored thereon. The components may communicate via local and/or remote processes such as in accordance with a signal having one or more data packets (e.g., data from one component interacting with another component in a local system, distributed system, and/or across a network such as the Internet with other systems via the signal). As another example, a component can be an apparatus with specific functionality provided by mechanical parts operated by electric or electronic circuitry, which is operated by a software or firmware application executed by a processor, wherein the processor can be internal or external to the apparatus and executes at least a part of the software or firmware application. As yet another example, a component can be an apparatus that provides specific functionality through electronic components without mechanical parts, the electronic components can comprise a processor therein to execute software or firmware that confers at least in part the functionality of the electronic components. While various components have been illustrated as separate components, it will be appreciated that multiple components can be implemented as a single component, or a single component can be implemented as multiple components, without departing from example embodiments.

Further, the various embodiments can be implemented as a method, apparatus or article of manufacture using standard programming and/or engineering techniques to produce software, firmware, hardware or any combination thereof to control a computer to implement the disclosed subject matter. The term “article of manufacture” as used herein is intended to encompass a computer program accessible from any computer-readable device or computer-readable storage/communications media. For example, computer readable storage media can include, but are not limited to, magnetic storage devices (e.g., hard disk, floppy disk, magnetic strips), optical disks (e.g., compact disk (CD), digital versatile disk (DVD)), smart cards, and flash memory devices (e.g., card, stick, key drive). Of course, those skilled in the art will recognize many modifications can be made to this configuration without departing from the scope or spirit of the various embodiments.

In addition, the words “example” and “exemplary” are used herein to mean serving as an instance or illustration. Any embodiment or design described herein as “example” or “exemplary” is not necessarily to be construed as preferred or advantageous over other embodiments or designs. Rather, use of the word example or exemplary is intended to present concepts in a concrete fashion. As used in this application, the term “or” is intended to mean an inclusive “or” rather than an exclusive “or”. That is, unless specified otherwise or clear from context, “X employs A or B” is intended to mean any of the natural inclusive permutations. That is, if X employs A; X employs B; or X employs both A and B, then “X employs A or B” is satisfied under any of the foregoing instances. In addition, the articles “a” and “an” as used in this application and the appended claims should generally be construed to mean “one or more” unless specified otherwise or clear from context to be directed to a singular form.

Moreover, terms such as “user equipment,” “mobile station,” “mobile,” subscriber station,” “access terminal,” “terminal,” “handset,” “mobile device” (and/or terms representing similar terminology) can refer to a wireless device utilized by a subscriber or user of a wireless communication service to receive or convey data, control, voice, video, sound, gaming or substantially any data-stream or signaling-stream. The foregoing terms are utilized interchangeably herein and with reference to the related drawings.

Furthermore, the terms “user,” “subscriber,” “customer,” “consumer” and the like are employed interchangeably throughout, unless context warrants particular distinctions among the terms. It should be appreciated that such terms can refer to human entities or automated components supported through artificial intelligence (e.g., a capacity to make inference based, at least, on complex mathematical formalisms), which can provide simulated vision, sound recognition and so forth.

As employed herein, the term “processor” can refer to substantially any computing processing unit or device comprising, but not limited to comprising, single-core processors; single-processors with software multithread execution capability; multi-core processors; multi-core processors with software multithread execution capability; multi-core processors with hardware multithread technology; parallel platforms; and parallel platforms with distributed shared memory. Additionally, a processor can refer to an integrated circuit, an application specific integrated circuit (ASIC), a digital signal processor (DSP), a field programmable gate array (FPGA), a programmable logic controller (PLC), a complex programmable logic device (CPLD), a discrete gate or transistor logic, discrete hardware components or any combination thereof designed to perform the functions described herein. Processors can exploit nano-scale architectures such as, but not limited to, molecular and quantum-dot based transistors, switches and gates, in order to optimize space usage or enhance performance of user equipment. A processor can also be implemented as a combination of computing processing units.

As used herein, terms such as “data storage,” data storage,” “database,” and substantially any other information storage component relevant to operation and functionality of a component, refer to “memory components,” or entities embodied in a “memory” or components comprising the memory. It will be appreciated that the memory components or computer-readable storage media, described herein can be either volatile memory or nonvolatile memory or can include both volatile and nonvolatile memory.

What has been described above includes mere examples of various embodiments. It is, of course, not possible to describe every conceivable combination of components or methodologies for purposes of describing these examples, but one of ordinary skill in the art can recognize that many further combinations and permutations of the present embodiments are possible. Accordingly, the embodiments disclosed and/or claimed herein are intended to embrace all such alterations, modifications and variations that fall within the spirit and scope of the appended claims. Furthermore, to the extent that the term “includes” is used in either the detailed description or the claims, such term is intended to be inclusive in a manner similar to the term “comprising” as “comprising” is interpreted when employed as a transitional word in a claim.

In addition, a flow diagram may include a “start” and/or “continue” indication. The “start” and “continue” indications reflect that the steps presented can optionally be incorporated in or otherwise used in conjunction with other routines. In this context, “start” indicates the beginning of the first step presented and may be preceded by other activities not specifically shown. Further, the “continue” indication reflects that the steps presented may be performed multiple times and/or may be succeeded by other activities not specifically shown. Further, while a flow diagram indicates a particular ordering of steps, other orderings are likewise possible provided that the principles of causality are maintained.

As may also be used herein, the term(s) “operably coupled to”, “coupled to”, and/or “coupling” includes direct coupling between items and/or indirect coupling between items via one or more intervening items. Such items and intervening items include, but are not limited to, junctions, communication paths, components, circuit elements, circuits, functional blocks, and/or devices. As an example of indirect coupling, a signal conveyed from a first item to a second item may be modified by one or more intervening items by modifying the form, nature or format of information in a signal, while one or more elements of the information in the signal are nevertheless conveyed in a manner than can be recognized by the second item. In a further example of indirect coupling, an action in a first item can cause a reaction on the second item, as a result of actions and/or reactions in one or more intervening items.

Although specific embodiments have been illustrated and described herein, it should be appreciated that any arrangement which achieves the same or similar purpose may be substituted for the embodiments described or shown by the subject disclosure. The subject disclosure is intended to cover any and all adaptations or variations of various embodiments. Combinations of the above embodiments, and other embodiments not specifically described herein, can be used in the subject disclosure. For instance, one or more features from one or more embodiments can be combined with one or more features of one or more other embodiments. In one or more embodiments, features that are positively recited can also be negatively recited and excluded from the embodiment with or without replacement by another structural and/or functional feature. The steps or functions described with respect to the embodiments of the subject disclosure can be performed in any order. The steps or functions described with respect to the embodiments of the subject disclosure can be performed alone or in combination with other steps or functions of the subject disclosure, as well as from other embodiments or from other steps that have not been described in the subject disclosure. Further, more than or less than all of the features described with respect to an embodiment can also be utilized. 

What is claimed is:
 1. A client system comprising: a video player device, comprising: a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations, the operations comprising: determining a first viewpoint of a user in response to detecting a head movement of a user in viewing video content; determining a capacity of a communication network; determining a plurality of tiles to be downloaded from a video content server, according to the first viewpoint and the capacity of the communication network; determining a tile schedule for receiving the plurality of tiles from the video content server over the communication network according to the first viewpoint and the capacity of the communication network using a rate adaptation algorithm to determine qualities of the plurality of tiles; providing the tile schedule to the video content server over the communication network, wherein the video content server schedules transmitting of the plurality of tiles according to the tile schedule, and wherein the video content server provides the plurality of tiles to the client system according to the tile schedule; decoding the plurality of tiles according to a decoding schedule resulting in a plurality of decoded tiles; buffering the plurality of decoded tiles in a decoded frame buffer; detecting a change in viewpoint by the user from the first viewpoint to a second viewpoint of the user; selecting a portion of the plurality of decoded tiles according to the second viewpoint resulting in selected tiles; and presenting the selected tiles.
 2. The client system of claim 1, wherein the operations comprise determining a plurality of supplemental tiles surrounding the first viewpoint, wherein the video content comprises the plurality of supplemental tiles.
 3. The client system of claim 2, wherein the operations comprise identifying a portion of the plurality of supplemental tiles comprising a group of supplemental I frames, wherein the plurality of tiles in the tile schedule comprises the portion of the plurality of supplemental tiles.
 4. The client system of claim 3, wherein the decoding the plurality of tiles comprising decoding the plurality of tiles according the group of supplemental I frames.
 5. The client system of claim 1, wherein the operations comprise identifying a group of frames according to the second viewpoint resulting in an identified group of frames, wherein the selecting of the portion of the plurality of decoded tiles comprises selecting the portion of the plurality of decoded tiles corresponding to the identified group of frames.
 6. The client system of claim 1, wherein the client system comprises one of a virtual reality headset, mobile device, communication device, set top box, media processor, or any other video content rendering device.
 7. The client system of claim 1, wherein the video content comprises panoramic video content, 360 degree video content, or less than 360 degree video content.
 8. The client system of claim 1, wherein the operations comprise detecting the decoded frame buffer is full with the plurality of decoded tiles.
 9. The client system of claim 8, wherein the operations comprise: identifying a first decoded tile from the plurality of decoded tiles, wherein the first decoded tile contains a portion of the video content that is not in the first viewpoint, wherein the plurality of decoded tiles comprises the first decoded tile; and removing the first decoded tile from the decoded frame buffer.
 10. The client system of claim 8, wherein the operations comprise: identifying a second decoded tile from the plurality of decoded tiles, wherein the second decoded tile contains a portion of the video content that is not in the second viewpoint, wherein the plurality of decoded tiles comprises the second decoded tile; and removing the second decoded tile from the decoded frame buffer.
 11. The client system of claim 1, wherein the operations comprise: identifying a playback time for each of the plurality of tiles resulting in a group of playback times for each of the plurality of tiles; and generating the decoding schedule according to the group of playback times.
 12. The client system of claim 1, wherein the operations comprise: determining a waiting time for each of the plurality of tiles resulting in a group of waiting times; and generating the decoding schedule according to the group of waiting times.
 13. A non-transitory machine-readable medium, comprising executable instructions that, when executed by a processing system including a processor of a client device, facilitate performance of operations, the operations comprising: determining a first viewpoint of a user in response to detecting a head movement of the user in viewing video content; determining a capacity of a communication network; determining a plurality of tiles to be downloaded from a video content server, according to the first viewpoint and the capacity of the communication network; determining a tile schedule for receiving the plurality of tiles from the video content server over the communication network according to the first viewpoint and the capacity of the communication network using a rate adaptation algorithm to determine qualities of the plurality of tiles; providing the tile schedule to the video content server over the communication network, wherein the video content server schedules transmitting of the plurality of tiles according to the tile schedule, and wherein the video content server provides the plurality of tiles to the processing system according to the tile schedule; identifying a playback time for each of the plurality of tiles resulting in a group of playback times for each of the plurality of tiles; generating a decoding schedule according to the group of playback times; decoding the plurality of tiles according to the decoding schedule resulting in a plurality of decoded tiles; buffering the plurality of decoded tiles in a decoded frame buffer; detecting a change in viewpoint by the user from the first viewpoint to a second viewpoint of the user; selecting a portion of the plurality of decoded tiles according to the second viewpoint resulting in selected tiles; and presenting the selected tiles.
 14. The non-transitory machine-readable medium of claim 13, wherein the operations comprise detecting the decoded frame buffer is full with the plurality of decoded tiles.
 15. The non-transitory machine-readable medium of claim 14, identifying a first decoded tile from the plurality of decoded tiles, wherein the first decoded tile contains a portion of the video content that is not in the first viewpoint, wherein the plurality of decoded tiles comprises the first decoded tile; and removing the first decoded tile from the decoded frame buffer.
 16. The non-transitory machine-readable medium of claim 14, wherein the operations comprise: identifying a second decoded tile from the plurality of decoded tiles, wherein the second decoded tile contains a portion of the video content that is not in the second viewpoint, wherein the plurality of decoded tiles comprises the second decoded tile; and removing the second decoded tile from the decoded frame buffer.
 17. A method, comprising: determining, by a processing system including a processor of a client device, a first viewpoint of a user in response to detecting a head movement of the user in viewing video content; determining, by the processing system, a capacity of a communication network; determining, by the processing system, a plurality of tiles to be downloaded from a video content server, according to the first viewpoint and the capacity of the communication network; determining, by the processing system, a tile schedule for receiving the plurality of tiles from the video content server over the communication network according to the first viewpoint and the capacity of the communication network using a rate adaptation algorithm to determine qualities of the plurality of tiles; providing, by the processing system, the tile schedule to the video content server over the communication network, wherein the video content server schedules transmitting of the plurality of tiles according to the tile schedule, and wherein the video content server provides the plurality of tiles to the processing system; decoding, by the processing system, the plurality of tiles according to a decoding schedule resulting in a plurality of decoded tiles; detecting, by the processing system, that a decoded frame buffer is full with the plurality of decoded tiles; identifying, by the processing system, a first decoded tile from the plurality of decoded tiles, wherein the first decoded tile contains a portion of the video content that is not in the first viewpoint, wherein the plurality of decoded tiles comprises the first decoded tile; removing, by the processing system, the first decoded tile from the decoded frame buffer; buffering, by the processing system, the plurality of decoded tiles in the decoded frame buffer; detecting, by the processing system, a change in viewpoint by the user from the first viewpoint to a second viewpoint of the user; selecting, by the processing system, a portion of the plurality of decoded tiles according to the second viewpoint resulting in selected tiles; and presenting, by the processing system, the selected tiles.
 18. The method of claim 17, comprising: identifying, by the processing system, a second decoded tile from the plurality of decoded tiles, wherein the second decoded tile contains a portion of the video content that is not in the second viewpoint, wherein the plurality of decoded tiles comprises the first decoded tile; and removing, by the processing system, the first decoded tile from the decoded frame buffer.
 19. The method of claim 17, comprising: identifying, by the processing system, a playback time for each of the plurality of tiles resulting in a group of playback times for each of the plurality of tiles; and generating, by the processing system, the decoding schedule according to the group of playback times.
 20. The method of claim 17, comprising: determining, by the processing system, a waiting time for each of the plurality of tiles resulting in a group of waiting times; and generating, by the processing system, the decoding schedule according to the group of waiting times. 